Speaker: Prof. Dr. Mathias J. Krause, Lattice Boltzmann Research Group, Karlsruhe Institute of Technology

Title: Facing Challenges in Computational Fluid Mechanics with Lattice Boltzmann Methods, OpenLB and High Performance Computers

Date and time: Tuesday, October 17, 2 p.m. – 3 p.m.

Slides: https://hpc.fau.de/files/2023/10/Slides_PerfLab_Krause.pdf

Abstract:

An overall strategy for numerical simulations and optimization of fluid flows is introduced. The integrative approach takes advantage of numerical simulation, high performance computing (HPC) and newly developed mathematical optimization techniques, all based on a mesoscopic model description and on Lattice Boltzmann Methods (LBM) as discretization strategies. The resulting algorithms were implemented in a highly generic way in the open source framework OpenLB. In the talk, particular focus is placed on the systematic approach of facing contemporary challenges in Computational Fluid Dynamics (CFD). Further, the consideration of LBM as a generic technique for the approximation of Partial Differential Equations (PDE) and its implementation on heterogeneous HPC platforms are highlighted. The presented approaches and realizations are illustrated by means of various fluid flow simulation and optimization examples, where specific aspects are discussed for the simulation of particulate and turbulent flows.

Short bio:

Mathias J. Krause studied mathematics with economics at the Universität Karlsruhe (TH) in Germany and the Cardiff University in Wales (2006). He completed his doctorate (2010) and habilitation (2020) at the Karlsruhe Institute of Technology (KIT). Since 2013, he heads the interdisciplinary Lattice Boltzmann Research Group (LBRG) at KIT. His research interests are mainly dedicated to the fields of applied mathematics, applied computer science with strong focus on HPC, CFD and optimization under the constraints of PDE. He is initiator and main author of OpenLB, an open source software which allows everyone to apply his scientific findings to solve large scale biological, chemical, mechanical and medical engineering problems. His work was honored with several prizes and a membership as WIN-Kollegiat at the Heidelberg Academy of Science.